官方更新 Google Workspace Updates 2026-10-19T13:19 正文 ok 371 words

Google Sheets 结合 Gemini 迎来重大升级:支持用自然语言直接分析 BigQuery 海量数据

英文标题:Analyze BigQuery data using natural language with Gemini in Google Sheets

谷歌宣布在 Google Sheets 中推出基于 Gemini 的自然语言 BigQuery 数据分析功能。用户通过 Connected Sheets 连接数据源后,无需编写 SQL,直接通过自然语言对话即可针对 BigQuery 的全量数据集进行交互式分析与追问。此外,Gemini 还能根据业务需求一键生成包含数据透视表和图表的动态刷新仪表板。这不仅让非技术业务人员无需跳出表格即可完成复杂分析,也极大减轻了数据团队在日常报表与临时取数上的积压负担。
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中文

我们正在推出一种在 Google Sheets 中分析 BigQuery 数据的新方式。通过 Connected Sheets 连接到 BigQuery 数据后,你可以使用 Gemini 直接在 Google Sheets 中以对话方式进行交互和数据分析。Gemini 查询是直接针对 BigQuery 中的完整数据集运行的,而不仅限于表格中当前可见的内容。这意味着用户现在可以对超大规模数据集提问、分析并创建视图。核心使用场景包括:

  • 用自然语言提问: 比如询问“上个季度东北地区的总销售额是多少?”,即可获得基于完整 BigQuery 数据的答案。
  • 通过追问深入挖掘: 通过诸如“与去年同期相比如何?”或“哪些产品带动了这一增长?”等问题继续推进对话。

让 Gemini 分析并从 BigQuery 中规模最大的数据集中提取洞察

  • 从分析直接生成仪表板: 描述你的需求,例如“构建一个季度销售回顾,包含各区域收入、月度趋势以及我们的前 10 大产品”。Gemini 会展示其计划供你审阅,随后生成一个新的工作表标签页,其中包含数据库公式、数据透视表和图表等原生的、已连接且可刷新的对象。

Gemini 可以创建已连接的图表、数据透视表和仪表板,并通过定时刷新保持最新状态

对于业务用户而言,Gemini 承担了端到端分析的繁重工作:从查询数据、获取复杂且细致的洞察,到排版最终仪表板供审阅,让他们无需离开 Google Sheets 就能更快完成工作。对于数据团队而言,这意味着来自 BigQuery 的一次性报表和取数需求积压大幅减少。

入门指南

  • 管理员: 该功能默认开启(ON)。该功能没有管理员控制选项。
  • 最终用户: 在连接到 BigQuery 的电子表格中,拥有连接数据查询权限的用户默认可使用该功能。如需开始使用,请在连接的电子表格中打开 Gemini 侧边栏。访问帮助中心以了解更多信息。

逐步推出节奏

适用范围

  • 商业版(Business): Business Standard 和 Plus
  • 企业版(Enterprise): Enterprise Standard 和 Plus
  • 个人消费者(Consumer): Google AI Pro 和 Ultra
  • 教育附加组件(Education Add-ons): Google AI Pro for Education
  • 其他附加组件(Other Add-ons): AI Expanded Access

相关资源

English / 原文

We’re introducing a new way to analyze BigQuery data in Google Sheets. After connecting to BigQuery data with Connected Sheets, you can use Gemini to interact and analyze that data conversationally, right in Google Sheets. Gemini queries run against the full dataset in BigQuery, not just what’s visible in your spreadsheet. This means users can now ask questions on, analyze, and create views over super large data sets. Key use cases include:

  • Ask questions in natural language: Ask something like “What were total sales in the Northeast last quarter?” and get an answer based on your complete BigQuery data.
  • Dig deeper with follow-ups: Keep the conversation going with questions like “How does that compare to the same quarter last year?” or “Which products drove the increase?”

Ask Gemini to analyze and pull insights from your largest datasets in BigQuery

  • Go from analysis to dashboard: Describe what you need, such as “Build a quarterly sales review with revenue by region, a monthly trend, and our top 10 products.” Gemini will share its plan for you to review, then build a new spreadsheet tab with native, connected, refreshable objects like database formulas, pivot tables, and charts.

Gemini can create connected charts, pivot tables, and dashboards that are always up to date with scheduled refreshes

For business users, Gemini handles the legwork of completing their end to end analysis, from querying the data to garnering complex and nuanced insights from the data, to laying out the final dashboard for review, allowing them to get their work done faster without ever leaving Google Sheets. For data teams, this means a shorter backlog of one-off requests for reports and data pulls from BigQuery.

Getting started

  • Admins: This feature will be ON by default. There is no admin control for this feature.
  • End users: This feature will be available by default in spreadsheets connected to BigQuery, for users with permission to query the connected data. To get started, open the Gemini side panel in a connected spreadsheet. Visit the Help Center to learn more.

Rollout pace

Availability

  • Business: Business Standard and Plus
  • Enterprise: Enterprise Standard and Plus
  • Consumer: Google AI Pro and Ultra
  • Education Add-ons: Google AI Pro for Education
  • Other Add-ons: AI Expanded Access

Resources